Benchmarking is essential for assessing the effectiveness of optimization algorithms. This is especially true in derivative-free optimization, where target ...

Researchers around the globe attend the International Symposium on Mathematical Programming (ISMP) to share their latest results in mathematics, algorithms, ...

Hydropower generation plays a crucial role in the global energy landscape, offering a renewable and sustainable source of electricity. Accurate forecasting o...

Algorithm NCL was devised to solve a class of large nonlinearly constrained optimization problems whose constraints do not satisfy LICQ at a solution. It ...

In this work, we propose improved task mapping strategies for real-time electric power system simulations on heterogeneous computing clusters, considering bo...

We consider fair resource allocation in sequential decision-making environments modeled as weakly coupled Markov decision processes, where resource constrain...

This paper proposes a two-phase optimization framework for short-term hydropower scheduling in the day-ahead electricity market using profile block bids grou...

Multiobjective blackbox optimization deals with problems where the objective and constraint functions are the outputs of a numerical simulation. In this cont...

Local search methods start from a feasible solution and improve it by successive minor modifications until a solution that cannot be further improved is enco...

The crew rostering problem (CRP) for pilots is a complex crew scheduling task assigning pairings, or sequences of flights starting and ending at the same air...

An industrial mining complex is an integrated value chain includes the excavation, transportation, processing, and distribution of mineral products as well a...

On February 4, 2025, the 5th edition of GERAD's Student Day took place, under the theme of energy transition. The aim of this event was to give students the ...

Retailers routinely face the strategic decision of how to promote their products. Two of the most common promotion strategies are bundling and discounting. D...

We develop a worst-case evaluation complexity bound for trust-region methods in the presence of unbounded Hessian approximations. We use the algorithm of ...

This paper considers the problem of designing urban mobility hubs by modeling them as service-integrated hub-line location problems. We integrate traditional...

This paper addresses the problem of efficiently routing vehicles for spring sweeping operations in countries that spread sand and gravel on roads in winter. ...

Motivated by our collaboration with an online platform operating in North America, we explore the joint optimization of the order fulfillment process with pe...

We investigate the impact of information asymmetry regarding the producer of remanufactured products on the decisions of a manufacturer and an authorized r...

A three-region optimal economic growth model is proposed to represent the global energy transition to net-zero emissions when carbon dioxide removal (CDR) te...

Population growth and city sprawl have been driving increasing amounts of traffic congestion in multiple major cities worldwide. In this scenario, developing...